OPTImization for MAchine Learning (OPTIMAL) Research Group
INDIAN INSTITUTE OF TECHNOLOGY INDORE
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OPTImization for MAchine Learning (OPTIMAL)
Research Group
Please see GitHub respository for codes.
SELECTED PAPERS Other than IIT Indore Affiliation

Complete List of Journal Publications

    (In Revision)
  1. GRA: Graph Representation Alignment for semi-supervised action recognition, IEEE Transactions on Neural Networks and Learning Systems.
    [SCI Indexed with Impact Factor: 14.25]
  2. High-Density Electroencephalography and Speech Signal based Deep Framework for Clinical Depression Diagnosis, IEEE / ACM Transactions on Computational Biology and Bioinformatics.
    [SCI Indexed with Impact Factor: 3.70]
  3. Deep learning based diagnosis and prognosis of Alzheimer's disease: A comprehensive review, IEEE Transactions on Cognitive and Developmental Systems.
    [SCI Indexed with Impact Factor: 4.54]
  4. Secure and Privacy-Preserving Human Interaction Recognition of Pervasive Healthcare Monitoring, IEEE Transactions on Network Science and Engineering.
    [SCI Indexed with Impact Factor: 5.03]
  5. Ensemble deep learning in speech signal tasks: a review, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).
    [SCI Indexed with Impact Factor: 4.09]
  6. Random vector functional link network: recent developments, applications and future directions, Applied Soft Computing, Elsevier.
    [SCI Indexed with Impact Factor: 8.26 ]
  7. Conv-eRVFL: Convolutional Neural Network based ensemble RVFL classifier for multimodal Alzheimer's Disease diagnosis, IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
    [SCI Indexed with Impact Factor: 7.02]
  8. Tracking and Diameter Estimation of Retinal Blood Vessels via Gaussian Process with Rider Optimization Algorithm, IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
    [SCI Indexed with Impact Factor: 7.02]
  9. Machine learning techniques for the diagnosis of Schizophrenia: A comprehensive review and future research directions, Journal of Ambient Intelligence and Humanized Computing, Springer.
    [SCI Indexed with Impact Factor: 3.66]
  10. An efficient microaneurysms detection approach in retinal fundus images, International Journal of Machine Learning and Cybernetics, Springer.
    [SCI Indexed with Impact Factor: 4.37]
  11. DEFAEK: Domain Effective Fast Adaptive Network for Face Anti-Spoofing, Neural Networks, Elsevier.
    [SCI Indexed with Impact Factor: 9.65]
  12. Lightweight 3D Convolutional Neural Network for Schizophrenia diagnosis using MRI Images and Ensemble Bagging Classifier, Cognitive Computation, Springer.
    [SCI Indexed with Impact Factor: 4.89]
  13. Quantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applications, Cognitive Computation, Springer.
    [SCI Indexed with Impact Factor: 4.89]
  14. Accepted/Published
  15. M. Tanveer, M.A. Ganaie, A. Bhattacharjee, C.T. Lin (2022). Intuitionistic fuzzy weighted least squares twin SVMs, IEEE Transactions on Cybernetics.
    [SCI Indexed with Impact Factor: 19.12]
  16. M.A. Ganaie, M. Tanveer, CT Lin (2022). Large scale fuzzy least squares twin SVMs for class imbalance learning, IEEE Transactions on Fuzzy Systems.
    [SCI Indexed with Impact Factor: 12.25]
  17. B. Cao, J. Zhao, X. Liu, J. Arabas, M. Tanveer, A.K. Singh, Z. Lv (2021). Multiobjective Evolution of the Explainable Fuzzy Rough Neural Network with Gene Expression Programming, IEEE Transactions on Fuzzy Systems.
    [SCI Indexed with Impact Factor: 12.25]
  18. Ye Shi, L. Zhang, Z. Cao, M. Tanveer, Chin-Teng Lin (2021). Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization, IEEE Transactions on Fuzzy Systems.
    [SCI Indexed with Impact Factor: 12.25]
  19. M. Tanveer, J. Jangir, M.A. Ganaie , I. Beheshti , M. Tabish, N. Chhabra (2022). Diagnosis of Schizophrenia: A comprehensive evaluation, IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
    [SCI Indexed with Impact Factor: 7.02]
  20. M.A. Ganaie, M. Tanveer, I. Beheshti (2022). Brain age prediction with improved least squares TSVR, IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
    [SCI Indexed with Impact Factor: 7.02]
  21. A.H. Rashid, A. Gupta, J. Gupta (2022). Biceph-Net: A robust and lightweight framework for the diagnosis of Alzheimer's disease using 2D-MRI scans and deep similarity learning, IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
    [SCI Indexed with Impact Factor: 7.02]
  22. Jiun-Da Lin, Hung-Hsiang Lin, Jilyan Dy, Jun-Cheng Chen, M. Tanveer, Imran Razzak, Kai-Lung Hua (2021). Lightweight Face Anti-Spoofing Network for Telehealth Applications, IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
    [SCI Indexed with Impact Factor: 7.02]
  23. Iman Beheshti, M.A. Ganaie, Vardhan Paliwal, Aryan Rastogi, Imran Razzak, M. Tanveer (2021). Predicting brain age using machine learning algorithms: A comprehensive evaluation, IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
    [SCI Indexed with Impact Factor: 7.02]
  24. M. Tanveer, A. Rashid, M.A. Ganaie, M. Reza, I. Razzak, K.L. Hua (2021). Classification of Alzheimer's disease using ensemble of deep neural networks trained through transfer learning, IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
    [SCI Indexed with Impact Factor: 7.02]
  25. M. Tanveer, Tarun Gupta, Miten Shah, Bharat Richhariya (2021). Sparse Twin Support Vector Clustering using Pinball Loss, IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
    [SCI Indexed with Impact Factor: 7.02]
  26. A.K. Malik, M. Tanveer (2022). Graph embedded ensemble deep randomized network for diagnosis of Alzheimer's disease, IEEE / ACM Transactions on Computational Biology and Bioinformatics.
    [SCI Indexed with Impact Factor: 3.70]
  27. M.A. Ganaie, M. Tanveer (2022). Ensemble deep random vector functional link network using privileged information for Alzheimer's disease diagnosis, IEEE / ACM Transactions on Computational Biology and Bioinformatics.
    [SCI Indexed with Impact Factor: 3.70]
  28. A.K. Malik, M.A. Ganaie, M. Tanveer, P.N. Suganthan (2022). Extended features based random vector functional link network for classification problem, IEEE Transactions on Computational Social Systems.
    [SCI Indexed with Impact Factor: 4.74]
  29. A.K. Malik, M.A. Ganaie, M. Tanveer, P.N. Suganthan (2022). Alzheimer's disease diagnosis via intuitionisticfuzzy random vector functional link network, IEEE Transactions on Computational Social Systems.
    [SCI Indexed with with Impact Factor: 4.74]
  30. M. Tanveer, M. Tabish and Jatin Jangir (2021). Sparse Pinball Twin Bounded Support Vector Clustering, IEEE Transactions on Computational Social Systems.
    [SCI Indexed with Impact Factor: 4.74]
  31. J.J. Virtusio, J.J.M. Ople, D.S. Tan,M. Tanveer, N. Kumar, Kai-Lung Hua (2021). Neural Style Palette: a multimodal and interactive style transfer from a single style image, IEEE Transactions on Multimedia.
    [SCI Indexed with Impact Factor: 8.18]
  32. J.J. Virtusio, D.S. Tan, W.H. Cheng, M. Tanveer, and K.L. Hua (2020). Enabling Artistic Control Over Pattern Density and Stroke Strength, IEEE Transactions on Multimedia.
    [SCI Indexed with Impact Factor: 8.18]
  33. Qi Li, Z. Cao, M. Tanveer, H.M. Pandey, C. Wang (2020). A semantic collaboration method based on uniform knowledge graph, IEEE Internet of Things Journal, 7(5): 4473-4484.
    [SCI Indexed with Impact Factor: 10.24]
  34. M Khan, T Hussain, M Tanveer, G Sannino, V Albuquerque (2020). Cost-Effective Video Summarization using Deep CNN with Hierarchical Weighted Fusion for IoT Surveillance Networks, IEEE Internet of Things Journal, 7(5): 4455-4463.
    [SCI Indexed with Impact Factor: 10.24]
  35. L Fang, Y Li, X Yun, Z Wen, S Ji, W Meng, Z Cao, M Tanveer (2020). THP: An SDN-based authentication scheme resistant to multiple attacks in IoT, IEEE Internet of Things Journal, 7(7): 5745-5759.
    [SCI Indexed with Impact Factor: 10.24]
  36. Q Li, Z Cao, M Tanveer, HM Pandey, C Wang (2020). An effective reliability evaluation method for power communication network based on community structure, IEEE Transactions on Industry Applications, 56(4): 4489-4500.
    [SCI Indexed with Impact Factor: 4.07]
  37. S. Dwivedi, T. Goel, M. Tanveer, R. Murugan, R Sharma (2021). Multi-modal fusion based deep learning network for effective diagnosis of Alzheimer's disease, IEEE Multimedia.
    [SCI Indexed with Impact Factor: 3.49]
  38. M. Hassainin, N. Moustafa, I. Razzak, M. Tanveer, D. Ormrod, J. Slay (2022). Dynamic hypersphere embedding scale against adversarial attacks, IEEE Transactions on Engineering Management.
    [SCI Indexed with Impact Factor: 8.70]
  39. M. Shahid, J.J. Virutusio, Y.H. Wu, Y.Y. Chen, M. Tanveer, K. Muhammad, K. L.Hua (2021). Spatio-Temporal Self-Attention Network for Fire Detection and Segmentation in Video Surveillance, IEEE Access.
    [SCI Indexed with Impact Factor: 3.47]
  40. M Khan, MS Obaidat, T Hussain, J Del Ser, N Kumar, M Tanveer, F Doctor (2021). Fuzzy Logic in Surveillance Big Video Data: Comprehensive Review, Challenges and Research Directions, ACM Computing Surveys.
    [SCI Indexed with Impact Factor: 14.32]
  41. A. Qayyum, I. Razzak, M. Tanveer. M. Mazher (2022). Progressive shallow net for child computer interaction through spontaneous facial behaviour analysis, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).
    [SCI Indexed with Impact Factor: 4.09]
  42. M. Tanveer, Tarun Gupta, Miten Shah (2020). Pinball Loss Twin Support Vector Clustering, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).
    [SCI Indexed with Impact Factor: 4.09]
  43. L. Fang, C. Yin, J. Zhu, C. Ge, M. Tanveer, A. Jolfaei, Z. Cao (2020). Privacy Protection for Medical Data Sharing in Smart Healthcare, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 16(3s), doi = 10.1145/3408322.
    [SCI Indexed with Impact Factor: 4.09]
  44. M. Tanveer, P. Khanna, M. Prasad, C.T. Lin (2020). Introduction to the Special Issue on Computational Intelligence for Biomedical Data and Imaging, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 16 (1s): 1-4.
    [SCI Indexed with Impact Factor: 4.09]
  45. M. Tanveer, B. Richhariya, R.U. Khan, A.H. Rashid, M. Prasad, P. Khanna, C.T. Lin (2020). Machine learning techniques for the diagnosis of Alzheimer's disease: A review, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 16(1s): 1-35.
    [SCI Indexed with Impact Factor: 4.09]
  46. M. Tanveer, S. Sharma, K. Muhammad (2020). Large scale least squares twin SVMs, ACM Transactions on Internet Technology.
    [SCI Indexed with Impact Factor: 3.98]
  47. B. Richhariya, M. Tanveer (2020). An efficient angle based universum least squares twin support vector machine for pattern classification, ACM Transactions on Internet Technology (TOIT), https://doi.org/10.1145/3387131.
    [SCI Indexed with Impact Factor: 3.98]
  48. Z. Yue, S. Ding, L. Zhao, Y. Zhang, Z. Cao, M. Tanveer, A. Jolfaei, X.Zheng (2020). Privacy-preserving time series medical images analysis using a hybrid deep learning frame-work, ACM Transactions on Internet Technology (TOIT), https://doi.org/10.1145/3383779.
    [SCI Indexed with Impact Factor: 3.98]
  49. A. Sardar, S. Umer, R.K. Rout, S.H. Wang, M. Tanveer (2022). A secure face recognition for IoT-enabled healthcare system, ACM Transactions on Sensor Networks.
    [SCI Indexed with Impact Factor: 2.56]
  50. H. Moosaei, M.A. Ganaie, M. Hlad, M. Tanveer (2022). Inverse Free Reduced Universum Twin Support Vector Machine For Imbalanced Data Classification, Neural Networks, Elsevier.
    [SCI Indexed with Impact Factor: 9.65]
  51. M.A. Ganaie, M. Tanveer, P.N. Suganthan, V. Snasel (2022). Oblique and rotation double random forest, Neural Networks, Elsevier.
    [SCI Indexed with Impact Factor: 9.65]
  52. C. Gautam, P.K. Mishra, A. Tiwari, B. Richhariya, H.M. Pandey, S. Wang, M. Tanveer (2020). Minimum variance-embedded deep kernel regularized least square method for one-class classification and its applications to biomedical data, Neural Networks, Elsevier, 123: 191-216 .
    [SCI Indexed with Impact Factor: 9.65]
  53. Q Shi, R Katuwal, PN Suganthan, M Tanveer (2021). Random Vector Functional Link Neural Network based Ensemble Deep Learning, Pattern Recognition, Elsevier.
    [SCI Indexed with Impact Factor: 8.52]
  54. B. Richhariya, M. Tanveer (2020). A reduced universum twin support vector machine for class imbalance learning, Pattern Recognition, Elsevier, 102, 107150.
    [SCI Indexed with Impact Factor: 8.52]
  55. M. Tanveer, A. Tiwari, R. Choudhary, M.A. Ganaie (2021). Large-Scale Pinball Twin Support Vector Machines, Machine Learning, Springer.
    [SCI Indexed with Impact Factor: 5.41]
  56. M. A. Ganaie, M. Tanveer, Jatin Jangir (2022). EEG signal classification via pinball universum twin support vector machine, Annals of Operations Research, Springer.
    [SCI Indexed with Impact Factor: 4.82]
  57. A. Qayyum, I. Razzak, M. Tanveer, A. Kumar (2021). Depth-Wise Multilevel Convolutional Neural Network for Automatic COVID19 Infection Detection, Annals of Operations Research, Springer.
    [SCI Indexed with Impact Factor: 4.82]
  58. M. Tanveer, T. Rajani, Y.H. Shao, M.A. Ganaie (2022). Comprehensive Review on twin support vector machines, Annals of Operations Research, Springer. .
    [SCI Indexed with Impact Factor: 4.82]
  59. M.A. Ganaie, M. Hu, A.K. Malik, M. Tanveer, P.N. Suganthan (2022). Ensemble deep learning: A review, Engineering Applications of Artificial Intelligence, Elsevier.
    [SCI Indexed with Impact Factor: 7.80]
  60. R. Sharma, T Goel, M. Tanveer, R. Murugan (2021). FDN-ADNet: Fuzzy LTSVM based Deep learning Network for prognosis of the Alzheimer's Disease using the sagittal plane of MRI scans, Applied Soft Computing, Elsevier.
    [SCI Indexed with Impact Factor: 8.26]
  61. M.A. Ganaie, M. Tanveer (2021). Fuzzy least squares projection twin support vector machines for class imbalance learning, Applied Soft Computing, Elsevier.
    [SCI Indexed with Impact Factor: 8.26]
  62. M. Tanveer, M.A. Ganaie, P.N. Suganthan (2021). Ensemble of classification models with weighted functional link network, Applied Soft Computing, Elsevier.
    [SCI Indexed with Impact Factor: 8.26]
  63. R Sharma, T Goel, M Tanveer, S Dwivedi, R Murugan (2021). FAF-DRVFL: Fuzzy Activation function based Deep Random Vector Functional Links Network for Early Diagnosis of Alzheimer Disease, Applied Soft Computing, Elsevier.
    [SCI Indexed with Impact Factor: 8.26]
  64. M.A. Ganaie and M. Tanveer (2020). LSTSVM classifier with enhanced features from pre-trained functional link network, Applied Soft Computing, Elsevier, 93, 106305.
    [SCI Indexed with Impact Factor: 8.26]
  65. M. Tanveer, C. Gautam, P.N. Suganthan (2019). Comprehensive evaluation of twin SVM based classifiers on UCI datasets, Applied Soft Computing, Elsevier, 83: 105617.
    [SCI Indexed with Impact Factor: 8.26]
  66. B. Richhariya, M. Tanveer (2018), A robust fuzzy least squares twin support vector machine for class imbalance learning. Applied Soft Computing, Elsevier, 71:418-432.
    [SCI Indexed with Impact Factor: 8.26]
  67. M. Tanveer, A. Tiwari, R. Choudhary, S. Jalan (2019). Sparse pinball twin support vector machines, Applied Soft Computing, Elsevier, 78: 164-175.
    [SCI Indexed with Impact Factor: 8.26]
  68. S. Alam, S.K. Sonbhadra, S. Agarwal, P. Nagabhushan, M. Tanveer (2020). Sample reduction using Farthest Boundary Point Estimation (FBPE) for Support Vector Data Description (SVDD), Pattern Recognition Letters, Elsevier, 131: 268-276
    [SCI Indexed with Impact Factor: 4.75]
  69. E.J. Cheng, K.P. Chou, S. Rajora, B.H. Jin, M. Tanveer, C.T. Lin, K.Y. Young, W.C. Lin, M. Prasad (2019). Deep sparse representation classifier for facial recognition and detection system, Pattern Recognition Letters, Elsevier, 125: 71-77.
    [SCI Indexed with Impact Factor: 4.75]
  70. M.A. Ganaie, Anuradha Kumari, A.K. Malik, M. Tanveer EEG signal classification using improved intuitionistic fuzzy twin support vector machines, Neural Computing and Applications, Springer.
    [SCI Indexed with Impact Factor: 5.10]
  71. A. Gupta, D. Kumar, H. Verma, M. Tanveer, Andreu-Perez Javier, Chin-Teng Lin, M. Prasad (2022). Recognition of multi-cognitive tasks from EEG signals using EMD methods, Neural Computing and Applications, Springer.
    [SCI Indexed with Impact Factor: 5.10]
  72. M.A. Ganaie, M. Tanveer, I. Beheshti (2021). Brain age prediction using improved twin SVR, Neural Computing and Applications, Springer.
    [SCI Indexed with Impact Factor: 5.10]
  73. Bharat Richhariya and M. Tanveer (2021). A fuzzy universum least squares twin support vector machine (FULSTSVM), Neural Computing and Applications, Springer.
    [SCI Indexed with Impact Factor: 5.10]
  74. Neha Gour, M. Tanveer, P. Khanna (2021). Challenges for Ocular Disease Identification in the Era of Artificial Intelligence, Neural Computing and Applications, Springer.
    [SCI Indexed with Impact Factor: 5.10]
  75. S. Balasundaram, M. Tanveer (2013). On Lagrangian twin support vector regression, Neural Computing & Applications, Springer, UK 22(1): 257-267.
    [SCI Indexed with Impact Factor: 5.10]
  76. M.A. Ganaie, M. Tanveer (2022). KNN weighted reduced universum twin SVM for class imbalance learning, Knowledge-Based Systems, Elsevier.
    [SCI Indexed with Impact Factor: 8.13]
  77. M. Tanveer, K. Shubham, M. Aldhaifallah, S.S. Ho (2016). An efficient regularized knn-based weighted twin support vector regression, Knowledge-Based Systems, Elsevier, Netherlands 94: 70-87.
    [SCI Indexed with Impact Factor: 8.13]
  78. A. H. Rashid, I. Razzak, M. Tanveer, Micheal Hobbs (2022). Reducing Rip Current Drowning: An Improved Residual based Lightweight Deep Architecture for Rip Detection, ISA Transactions, Elsevier.
    [SCI Indexed with Impact Factor: 5.91]
  79. C. Gautam, A. Tiwari, P.K. Mishra, S. Suresh, Alexandros Iosifidis, M. Tanveer (2021). Graph-embedded multi-layer kernel ridge regression for one-class classification, Cognitive Computation, Springer.
    [SCI Indexed with Impact Factor: 4.89]
  80. C. Gautam, A. Tiwari, M. Tanveer (2020). Kernel ridge regression-based auto-encoder for one-class classification using privileged information, Cognitive Computation, Springer, 12:412-425.
    [SCI Indexed with Impact Factor: 4.89]
  81. M. Tanveer (2015). Robust and sparse linear programming twin support vector machines, Cognitive Computation, Springer, USA 7: 137-149 (Sole author).
    [SCI Indexed with Impact Factor: 4.89]
  82. Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthana, M. Tanveer (2022). Automated Layer-wise Solution for Ensemble Deep Randomized Feed-forward Neural Network, Neurocomputing, Elsevier.
    [SCI Indexed with Impact Factor: 5.78]
  83. A. Gupta, R.U. Khan, V.K. Singh, M. Tanveer, D. Kumar, A. Chakraborti, R.B. Pachori (2020). A novel approach for classification of mental tasks using multiview ensemble learning (MEL), Neurocomputing, Elsevier, 417(5): 558-584.
    [SCI Indexed with Impact Factor: 5.78]
  84. M. Tanveer, A. Sharma, P.N. Suganthan (2020). Least squares K-nearest neighbor-based weighted multi-class twin SVM, Neurocomputing, Elsevier.
    [SCI Indexed with Impact Factor: 5.78]
  85. M. Tanveer, I. Ahmad, M. Mangal, Y.H. Shao (2016). One norm linear programming support vector regression, Neurocomputing, Elsevier, Netherlands 173: 1508-1518.
    [SCI Indexed with Impact Factor: 5.78]
  86. Bharat Richhariya and M. Tanveer (2020). Least squares projection twin support vector clustering (LSPTSVC), Information Sciences, Elsevier, 533, 1-23.
    [SCI Indexed with Impact Factor: 8.23]
  87. C. Gautam, A. Tiwari, M. Tanveer (2019). KOC+: Kernel ridge regression-based one-class classification using privileged information, Information Sciences, Elsevier, 504: 324-333.
    [SCI Indexed with Impact Factor: 8.23]
  88. M. Tanveer, A. Sharma, P.N. Suganthan (2019). General twin support vector machine with pinball loss function, Information Sciences, Elsevier, 494: 311-327.
    [SCI Indexed with Impact Factor: 8.23]
  89. M.A. Ganaie, M. Tanveer, P.N. Suganthan (2020). Oblique decision tree ensemble via twin bounded SVM, Expert Systems with Applications, Elsevier, 143: 113072.
    [SCI Indexed with Impact Factor: 8.66]
  90. B. Richhariya, M. Tanveer (2018), EEG signal classification using universum support vector machine. Expert Systems with Applications, Elsevier, 106: 169-182.
    [SCI Indexed with Impact Factor: 8.66]
  91. M. Tanveer, K. Shubham (2017). A regularization on Lagrangian twin support vector regression, International Journal of Machine Learning and Cybernetics, Springer, USA 8(3): 807-821.
    [SCI Indexed with Impact Factor: 4.37]
  92. M. Tanveer (2015). Newton method for implicit Lagrangian twin support vector machines, Journal of Machine Learning and Cybernetics, Springer, USA 6:1029-1040 (Sole author).
    [SCI Indexed with Impact Factor: 4.37]
  93. M. Tanveer, M.A. Khan, S.S. Ho (2016). Robust energy-based least squares twin support vector machines, Applied Intelligence, Springer, Netherlands 45(1): 174-186.
    [SCI Indexed with Impact Factor: 5.01]
  94. M. Tanveer, K. Shubham, M. Al-Dhafallah, K.S. Nisar (2016). An efficient implicit regularized Lagrangian twin support vector machines, Applied Intelligence, Springer, Netherlands 44(4): 831-848.
    [SCI Indexed with Impact Factor: 5.01]
  95. M. Tanveer, A.H. Rashid, R. Kumar, B. Raman (2022). Parkinson's disease diagnosis with deep and shallow neural networks: survey and comprehensive evaluation, Information Processing and Management, Elsevier.
    [SCI Indexed with Impact Factor: 7.46]
  96. Javed Ali, M. Aldhaifallah, K.S. Nisar, A.A. Aljabr, M. Tanveer, (2021). Regularized least squares twin SVM for multiclass classification, Big Data Research, Elsevier.
    [SCI Indexed with Cite Score: 3.73]
  97. I.A. Khan, Nour Moustafa, Imran Razzak, M Tanveer, Dechang Pi, Yue Pan, Bakhtsher Ali (2021): XSRU-IoMT: Explainable Simple Recurrent Units for Threat Detection in Internet of Medical Things Networks, Future Generation Computer Systems, Elsevier.
    [SCI Indexed with Impact Factor: 7.30]
  98. AK Sahu, S. Sharma, M. Tanveer, R. Raja (2021). Internet of Things Attack Detection Using Hybrid Deep Learning Model, Computer Communications, Elsevier.
    [SCI Indexed with Impact Factor: 5.04]
  99. S. Mishra, I. Beheshti, M. Tanveer, P. Khanna (2021). 3D Supervoxel based features for early detection of AD: A microscopic view to the brain MRI, Multimedia Tools and Applications, Springer. [SCI Indexed with Impact Factor: 2.57]
  100. Hossein Moosaei, Saeed Ketabchi, Mohamad Razzaghi, M Tanveer (2021). Generalized Twin Support Vector Machines, Neural Processing Letters (NEPL), Springer.
    [SCI Indexed with Impact Factor: 2.56]
  101. K. Jha, S. Saha, M. Tanveer(2021). Prediction of protein-protein interactions using stacked auto-encoder, Transactions on Emerging Telecommunications Technologies, e4256.
    [SCI Indexed with Impact Factor: 3.31]
  102. M. Tanveer, S. Sharma, R. Rastogi, P. Anand (2020). Sparse support vector machine with pinball loss, Wiley Transactions on Emerging Telecommunications Technologies, https://doi.org/10.1002/ett.3820.
    [SCI Indexed with Impact Factor: 3.31]
  103. M.A. Ganaie, S. Ghosh, N. Mendola, M. Tanveer, S. Jalan (2020). Identification of Chimera using Machine Learning, Chaos: An Interdisciplinary Journal of Nonlinear Science, 30(6): 063128.
    [SCI Indexed with Impact Factor: 3.74]
  104. B. Cao, S. Fan, J. Zhao, P. Yang, K. Muhammad, M. Tanveer (2020). Quantum-enhanced multiobjective large-Scale optimization via parallelism, Swarm and Evolutionary Computation, Elsevier, 57, 100697.
    [SCI Indexed with Impact Factor: 10.26]
  105. R.U. Khan, M. Tanveer and R.B. Pachori (2020). A novel method for the classification of Alzheimer's disease from normal controls using MRI images, Expert Systems, Wiley, https://doi.org/10.1111/exsy.12566.
    [SCI Indexed with Impact Factor: 2.81]
  106. B. Richhariya, M. Tanveer, A.H. Rashid (2020). Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE), Biomedical Signal Processing Control, Elsevier, 59: 101903.
    [SCI Indexed with Impact Factor: 5.07]
  107. M. Tanveer, K. Shubham (2017). Smooth twin support vector machines via unconstrained convex minimization, Filomat, USA 31(8): 2195-2210.
    [SCI Indexed with Impact Factor: 0.98]
  108. M. Tanveer (2017). Linear programming twin support vector regression, Filomat, USA 31(7): 2123-2142 (Sole author).
    [SCI Indexed with Impact Factor: 0.98]
  109. M. Tanveer (2015). Application of smoothing techniques for linear programming twin support vector machines, Knowledge and Information Systems, Springer, USA 45(1): 191-214 (Sole author).
    [SCI Indexed with Impact Factor: 2.53]
  110. M. Tanveer (2014). Note on some recent fixed point theorems in fuzzy metric spaces, Journal of Intelligent & Fuzzy Systems, IOS Press, USA 26: 811-814 (Sole author).
    [SCI Indexed with Impact Factor: 1.73]
  111. Tanveer, M. (2013). Smoothing technique on linear programming twin support vector machines. IJMLC, 3(2), 240.
  112. S. Balasundaram, M. Tanveer (2013). Smooth Newton method for implicit Lagrangian twin support vector regression, KES, IOP Press, 17(4), 267-278.
  113. S. Balasundaram, M. Tanveer (2012). On proximal bilateral-weighted fuzzy support vector machine classifiers, IJAIP, USA 4 (3/4), 199-210 (Scopus Indexed).
  114. I. Altun, M. Tanveer, M. Imdad (2012). Common fixed point theorems of integral type in Menger PM spaces. Journal of Nonlinear Analysis and Optimization: Theory & Applications, 3(1), 55-66 (Scopus Indexed).
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